Hoo-Chang Shin

发表

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features

Daguang Xu, Xiaosong Wang, Ling Zhang, 2019, SASHIMI@MICCAI.

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks

Ronald M. Summers, Ulas Bagci, Holger Roth, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database pdf

Ronald M. Summers, Jianhua Yao, Le Lu, 2016, ArXiv.

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Ronald M. Summers, Jianhua Yao, Mingchen Gao, 2016, IEEE Transactions on Medical Imaging.

Bio-Megatron: Larger Biomedical Domain Language Model

Yang Zhang, Mohammad Shoeybi, Raul Puri, 2020, EMNLP.

Interleaved text/image Deep Mining on a large-scale radiology database

Ronald M. Summers, Jianhua Yao, Le Lu, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI pdf

Hoo-Chang Shin, Jiook Cha, Alvin Ihsani, 2020, MICCAI.

Autoencoder in Time-Series Analysis for Unsupervised Tissues Characterisation in a Large Unlabelled Medical Image Dataset

Simon J. Doran, Martin O. Leach, David J. Collins, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network pdf

Dong Yang, Daguang Xu, Xiaosong Wang, 2019, ArXiv.

Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning

Ronald M. Summers, Le Lu, Hoo-Chang Shin, 2017, Deep Learning for Medical Image Analysis.

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation pdf

Ronald M. Summers, Jiamin Liu, Holger Roth, 2015, MICCAI.

Organ Detection Using Deep Learning

Simon J. Doran, Martin O. Leach, Matthew R. Orton, 2016 .

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database

Ronald M. Summers, Jianhua Yao, Le Lu, 2017, Deep Learning and Convolutional Neural Networks for Medical Image Computing.

Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation

Ronald M. Summers, Kirk Roberts, Jianhua Yao, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection

Ronald M. Summers, Adrian Barbu, Holger Roth, 2015, MICCAI.

Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network

Daguang Xu, Xiaosong Wang, Ling Zhang, 2020, MIDL.

Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition

Ronald M. Summers, Jianhua Yao, Mohammadhadi Bagheri, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data

Simon J. Doran, Martin O. Leach, David J. Collins, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis pdf

Hoo-Chang Shin, Jiook Cha, Alvin Ihsani, 2020, ArXiv.

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Brian B. Avants, D. Louis Collins, Hervé Delingette, 2015, IEEE Transactions on Medical Imaging.

Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

Jeffrey L. Gunter, Katherine P. Andriole, Christopher G. Schwarz, 2018, SASHIMI@MICCAI.

Hybrid Clustering and Logistic Regression for Multi-Modal Brain Tumor Segmentation

Hoo-Chang Shin, Hoo-Chang Shin, 2012 .

Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging

Ronald M. Summers, Jianhua Yao, Holger Roth, 2017, Deep Learning and Convolutional Neural Networks for Medical Image Computing.

Anatomy-specific classification of medical images using deep convolutional nets

Ronald M. Summers, Jianhua Yao, Holger Roth, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches pdf

Hoo-Chang Shin, Bo Liu, Virginia Adams, 2021, ArXiv.

Automatic Extraction of Medication Names in Tweets as Named Entity Recognition pdf

Hoo-Chang Shin, Bo Liu, Virginia Adams, 2021, ArXiv.

Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models pdf

Hoo-Chang Shin, Bo Liu, Virginia Adams, 2021, ArXiv.

Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation a set of bounding boxes covering each image superpixel at multiple spatial scales in a “ zoom-out ” fashion

Ronald M. Summers, Le Lu, Jiamin Liu, 2018 .